[1] Stevens, G.C., (1989). “Integrating the supply chain. International Journal of Physical Distribution & Materials Management”, 19(8): 3-8.
[2] Guide, J.r., Van-Wassenhove, L.N., (2009). “OR FORUM-the evolution of closed-loop supply chain research”, Operations research, 57(1): 10-18.
[3] Souza, G.C., (2013). “Closed‐Loop Supply Chains: A Critical Review, and Future Research”, Decision Sciences, 44(1): 7-38.
[4] Fleischmann, M.,
Bloemhof-Ruwaard, J.M.,
Dekker, R.,
Laan, E.,
Nunen J.A.E.E.,
Wassenhove, L.N., (1997). “Quantitative models for reverse logistics: A review”, European journal of operational research, 103(1): 1-17.
[5] Govindan, K., Soleimani, H., Kannan, D., (2015). “Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future”, European Journal of Operational Research, 240(3): 603-626.
[6] Schultmann, F., Engels, B., Rentz, O., (2003). “Closed-loop supply chains for spent batteries”, Interfaces, 33(6): 57-71.
[7] Inderfurth, K., (2005). “Impact of uncertainties on recovery behavior in a remanufacturing environment: a numerical analysis”, International Journal of Physical Distribution & Logistics Management, 35(5): 318-336.
[8] Sheu, J.B., Chou, Y.H., Hu, C.C., (2005). “An integrated logistics operational model for green-supply chain management”, Transportation Research Part E: Logistics and Transportation Review, 41(4): 287-313.
[9] Ko, H.J., Evans, G.W., (2007). “A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs”, Computers & Operations Research, 34(2): 346-366.
[10] Listeş, O., (2007). “A generic stochastic model for supply-and-return network design”, Computers & Operations Research, 34(2): 417-442.
[11] Üster, H., et al., (2007). “Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model”, Naval Research Logistics (NRL), 54(8): 890-907.
[12] Chouinard, M., D’Amours, S., Aït-Kadi, D., (2008). “A stochastic programming approach for designing supply loops”, International Journal of Production Economics, 113(2): 657-677.
[13] Du, F., Evans, G.W., (2008). “A bi-objective reverse logistics network analysis for post-sale service”, Computers & Operations Research, 35(8): 2617-2634.
[14] Lee, J.E., Gen, M., Rhee, K.G., (2009). “Network model and optimization of reverse logistics by hybrid genetic algorithm”, Computers & Industrial Engineering, 56(3): 951-964.
[15] Pishvaee, M.S., Jolai, F., Razmi, J., (2009). “A stochastic optimization model for integrated forward/reverse logistics network design”, Journal of Manufacturing Systems, 28(4): 107-114.
[16] Qin, Z., Ji, X., (2010). “Logistics network design for product recovery in fuzzy environment”, European Journal of Operational Research, 202(2): 479-490.
[17] Kara, S.S., S. Onut, (2010). “A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network”, The case of paper recycling. Expert Systems with Applications, 37(9): 6129-6137.
[18] Pishvaee, M.S., Farahani, R.Z., Dullaert, W., (2010). “A memetic algorithm for bi-objective integrated forward/reverse logistics network design”, Computers & operations research, 37(6): 1100-1112.
[19] Pishvaee, M.S., Rabbani, M., S.A. Torabi, (2011). “A robust optimization approach to closed-loop supply chain network design under uncertainty”, Applied Mathematical Modelling, 35(2): 637-649.
[20] Piplani, R., A. Saraswat, (2012). “Robust optimisation approach to the design of service networks for reverse logistics”, International Journal of Production Research, 50(5): 1424-1437.
[21] Mahmoudi, H., H. Fazlollahtabar, I. Mahdavi, (2013). “Mathematical Modeling for Minimizing Costs in a Multilayer Multi-Product Reverse Supply Chain”, Industrial Engineering & Management, 2: 1-6.
[22] Amin, S.H. and Zhang, G., (2013). “A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return”, Applied Mathematical Modelling, 37(6): p. 4165-4176.
[23] Ramezani, M., M. Bashiri, R. Tavakkoli-Moghaddam, (2013). “A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level”, Applied Mathematical Modelling, 37(1): 328-344.
[24] Özceylan, E., Paksoy, T., Bektaş, T., (2014). “Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing”, Transportation Research Part E: Logistics and Transportation Review, 61: 142-164.
[25] Soleimani, H., Seyyed-Esfahani, M., Kannan, G., (2014). “Incorporating risk measures in closed-loop supply chain network design”, International Journal of Production Research, 52(6): 1843-1867.
[26] Rezaee, A., Dehghanian, F., Fahimnia, B., Beamon, B., (2015). “Green supply chain network design with stochastic demand and carbon price”, Annals of Operations Research, 250(2): 463-485.
[27] Ben-Tal, A., Nemirovski, A., (1998). “Robust convex optimization. Mathematics of Operations Research, 23(4): 769-805.
[28] Ben-Tal, A., Nemirovski A., (2000). “Robust solutions of linear programming problems contaminated with uncertain data”, Mathematical programming, 88(3): 411-424.
[29] Vahdani, B., Tavakkoli-Moghaddam R., Modarres, M., A. Baboli, (2012). “Reliable design of a forward/reverse logistics network under uncertainty: a robust-M/M/c queuing model”, Transportation Research Part E: Logistics and Transportation Review, 48(6): 1152-1168.
[30] Hwang, C.L., Masud, A.S.M., (1979). “Multiple objective decision making-methods and applications”, Springer.
[31] Torabi, S.A., Hassini, E., (2008). “An interactive possibilistic programming approach for multiple objective supply chain master planning”, Fuzzy Sets and Systems, 159(2): 193-214.
)